# QUARTILE.INC

QUARTILE.INC is an Excel function used to calculate quartiles (values that divide a data set into four equal parts) based on a given data set. It is particularly useful in statistics and data analysis to understand the distribution and spread of values within a dataset.

## Syntax ðŸ”—

=QUARTILE.INC(`array`

, `quart`

)

`array` | The array or range of numeric values for which you want to calculate the quartile. |

`quart` | An integer (1 to 3) representing the quartile to return. 1 returns the first quartile (25th percentile), 2 returns the second quartile (50th percentile / median), and 3 returns the third quartile (75th percentile). |

## About QUARTILE.INC ðŸ”—

QUARTILE.INC provides a straightforward means of obtaining quartile values within a dataset, facilitating the analysis of data distribution and variability. It aids in segmenting a dataset into four equal parts, each containing a quarter of the total values. This function serves as a crucial tool for statisticians, analysts, and researchers seeking insights into the spread and central tendencies of numerical data sets. By utilizing QUARTILE.INC, you can uncover valuable information about the dataset's range and the positioning of specific values within it.

## Examples ðŸ”—

Suppose you have a dataset of exam scores stored in cells A1:A20. To find the first quartile (Q1), which represents the 25th percentile, use the formula: =QUARTILE.INC(A1:A20, 1)

If you want to calculate the third quartile (Q3) for a dataset of sales figures in cells B1:B50, use: =QUARTILE.INC(B1:B50, 3)

## Notes ðŸ”—

Ensure that the array argument contains only numeric values. The quart argument must be an integer between 1 and 3. An incorrect quart argument may result in an error or return an unexpected value. QUARTILE.INC provides an inclusive quantile estimation as opposed to the Excel QUARTILE function, which follows an exclusive approach.

## Questions ðŸ”—

**How does QUARTILE.INC divide a dataset into quartiles?**

QUARTILE.INC divides a dataset into quartiles by identifying the values that mark the 25th, 50th, and 75th percentiles of the data set, thus creating four equal parts.

**What do the quartile values returned by QUARTILE.INC signify?**

The quartile values returned by QUARTILE.INC represent specific points within the dataset: Q1 (first quartile) marks the 25th percentile, Q2 (second quartile) is the median (50th percentile), and Q3 (third quartile) denotes the 75th percentile.

## Related functions ðŸ”—

QUARTILE.EXC

PERCENTILE.INC

PERCENTILE.EXC

MEDIAN

MODE.SNGL

AVERAGE

STDEV.S

COUNT